2019 + pics
14th workshop gRFIA
2nd International Workshop on Reading Music Systems
Delft, November 2
12th international workshop on Machine Learning and Music
Würzburg (Germany): September 16, 2019
- F. Moreno-Seco; J. M. Iñesta; P. Ponce de León; L. Micó
"Comparison of Classifier Fusion Methods for Classification in Pattern Recognition Tasks"
Lecture Notes in Computer Science, vol. 4109, pp. 705--713
This work presents a comparison of current research in the use of voting ensembles of classifiers in order to improve the accuracy of single classifiers and make the performance more robust against the difficulties that each individual classifier may have. Also, a number of combination rules are proposed. Different voting schemes are discussed and compared in order to study the performance of the ensemble in each task. The ensembles have been trained on real data available for benchmarking and also applied to a case study related to statistical description models of melodies for music genre recognition.
author = "F. Moreno-Seco; J. M. Iñesta; P. Ponce de León; L. Micó",
title = "Comparison of Classifier Fusion Methods for Classification in Pattern Recognition Tasks",
journal = "Lecture Notes in Computer Science",
pages = "705--713",
volume = "4109",
year = "2006"